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ORCIDShu Wang 0005
Person information
- affiliation: Southwest University, School of Materials and Energy, Chongqing, China
- affiliation: Lanzhou University of Technology, College of Material Science and Engineering, Lanzhou, China
- affiliation (PhD): Lanzhou University, China
Other persons with the same name
- Shu Wang — disambiguation page
- Shu Wang 0001 — University of New South Wales, School of Electrical and Information Engineering, Australia (and 1 more)
- Shu Wang 0002 — University of California, Los Angeles, CA, USA
- Shu Wang 0003 — Glasgow Caledonian University, UK
- Shu Wang 0004
![[0000-0002-7920-7025]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7920-7025")
— George Mason University, Center for Secure Information Systems, Fairfax, VA, USA - Shu Wang 0006 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, State Key Laboratory of Resources and Environmental Information System, Beijing, China (and 2 more)
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2020 – today
- 2024
[j16]Shu Wang, Jiawei Liu, Shen Chen, Shanshan Wang, Yuxin Peng, Changbo Liao, Li Liu:
Recognizing wearable upper-limb rehabilitation gestures by a hybrid multi-feature neural network. Eng. Appl. Artif. Intell. 127(Part B): 107424 (2024)- [j15]Lei Wang, Shanshan Huang, Shu Wang, Jun Liao, Tingpeng Li, Li Liu:
A survey of causal discovery based on functional causal model. Eng. Appl. Artif. Intell. 133: 108258 (2024) - [j14]Shanshan Huang, Yuanhao Wang, Zhili Gong, Jun Liao, Shu Wang, Li Liu:
Controllable image generation based on causal representation learning. Frontiers Inf. Technol. Electron. Eng. 25(1): 135-148 (2024) - [j13]Shu Wang, Xiaohu Li, Guorui Liao, Jiawei Liu, Changbo Liao, Ming Liu, Jun Liao, Li Liu:
A spatio-temporal graph neural network for fall prediction with inertial sensors. Knowl. Based Syst. 293: 111709 (2024) - [c6]Guorui Liao, Jiawei Liu, Yuxuan Liang, Shu Wang, Li Liu:
Fall Prediction by a Spatio-Temporal Multi-Channel Causal Model from Wearable Sensors Data. ICASSP 2024: 1701-1705 - [c5]Xiaohu Li, Jiawei Liu, Guorui Liao, Mingrui Yin, Shu Wang, Guoxin Su, Jun Liao, Li Liu:
Predicting Fall Events by a Spatio-Temporal Topological Network with Multiple Wearable Sensors. ICASSP 2024: 8551-8555 - [c4]Laiming Jiang, Jiawei Liu, Shu Wang, Jun Liao, Qingsong Li, Zhengyang Li, Shen Chen, Li Liu:
Multi-channel Spatio-Temporal Causal Representation Model for Cognitive Load Assessment in Physiological Signals. ICME 2024: 1-6 - [c3]Zhengyang Li, Shanshan Huang, Jiawei Liu, Laiming Jiang, Shen Chen, Yi Zhang, Jun Liao, Shu Wang, Li Liu:
Recognizing Cognitive Load by a Multi-instance Causal Learning Model from Multi-channel Physiological Data. ICME 2024: 1-6 - 2023
- [j12]Kunxia Wang, Ruixiang He, Shu Wang, Li Liu, Takashi Yamauchi:
The Efficient-CapsNet model for facial expression recognition. Appl. Intell. 53(13): 16367-16380 (2023) - [j11]Jiawei Liu, Xiaohu Li, Shanshan Huang, Rui Chao, Zhidong Cao, Shu Wang, Aiguo Wang, Li Liu:
A review of wearable sensors based fall-related recognition systems. Eng. Appl. Artif. Intell. 121: 105993 (2023) - [j10]Shu Wang, Hao Luo, Shanshan Huang, Qingsong Li, Li Liu, Guoxin Su, Ming Liu:
Counterfactual-based minority oversampling for imbalanced classification. Eng. Appl. Artif. Intell. 122: 106024 (2023) - [c2]Jiawei Liu, Xiaohu Li, Guorui Liao, Shu Wang, Li Liu:
MCTN: A Multi-Channel Temporal Network for Wearable Fall Prediction. ECML/PKDD (6) 2023: 394-409 - 2022
- [j9]Shu Wang, Aiguo Wang, Mengyuan Ran, Li Liu, Yuxin Peng, Ming Liu, Guoxin Su, Adi Alhudhaif, Fayadh Alenezi, Norah Alnaim:
Hand gesture recognition framework using a lie group based spatio-temporal recurrent network with multiple hand-worn motion sensors. Inf. Sci. 606: 722-741 (2022) - [j8]Yande Li, Lulan Yu, Jun Liao, Guoxin Su, Ammarah Hashmi, Li Liu, Shu Wang:
A single smartwatch-based segmentation approach in human activity recognition. Pervasive Mob. Comput. 83: 101600 (2022) - [c1]Manling Yang, Xiaohu Li, Jiawei Liu, Shu Wang, Li Liu:
A Survey of Computer Vision-Based Fall Detection and Technology Perspectives. ChineseCSCW (2) 2022: 595-609 - 2020
- [j7]Kunxia Wang, Guoxin Su, Li Liu, Shu Wang:
Wavelet packet analysis for speaker-independent emotion recognition. Neurocomputing 398: 257-264 (2020)
2010 – 2019
- 2018
- [j6]Li Liu, Shu Wang, Bin Hu, Qingyu Xiong, Junhao Wen, David S. Rosenblum:
Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition. Pattern Recognit. 81: 545-561 (2018) - 2017
- [j5]Qianru Wang, Li Liu, Shu Wang, Jianzhou Wang, Ming Liu:
Predicting Beijing's tertiary industry with an improved grey model. Appl. Soft Comput. 57: 482-494 (2017) - [j4]Li Liu, Shu Wang, Guoxin Su, Bin Hu, Yuxin Peng, Qingyu Xiong, Junhao Wen:
A framework of mining semantic-based probabilistic event relations for complex activity recognition. Inf. Sci. 418: 13-33 (2017) - [j3]Li Liu, Shu Wang, Guoxin Su, Zi-Gang Huang, Ming Liu:
Towards complex activity recognition using a Bayesian network-based probabilistic generative framework. Pattern Recognit. 68: 295-309 (2017) - [i1]Li Liu, Yongzhong Yang, Lakshmi Narasimhan Govindarajan, Shu Wang, Bin Hu, Li Cheng, David S. Rosenblum:
An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition. CoRR abs/1701.00903 (2017) - 2016
- [j2]Li Liu, Yuxin Peng, Shu Wang, Ming Liu, Zi-Gang Huang:
Complex activity recognition using time series pattern dictionary learned from ubiquitous sensors. Inf. Sci. 340-341: 41-57 (2016) - [j1]Li Liu, Shu Wang, Yuxin Peng, Zi-Gang Huang, Ming Liu, Bin Hu:
Mining intricate temporal rules for recognizing complex activities of daily living under uncertainty. Pattern Recognit. 60: 1015-1028 (2016)
Coauthor Index
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